251 to 275 of 668 Kafka Jobs in England

areas would be advantageous: Conversational AI and dialogue management. Prompt engineering and Retrieval-Augmented Generation (RAG) . Real-time data streaming platforms such as Kafka . Vector databases including Pinecone, Milvus or Qdrant . Model compression and optimisation techniques including INT8/FP4 quantisation, pruning and knowledge distillation . ...

cloud technologies such as AWS. Experience with processing large data sets on Elasticsearch or similar data stores. Experience with event-driven architectures (CQRS, Kafka Streams etc). Excellent knowledge of computer science and networking fundamentals. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect ...

architecture* Experience working in Agile/Scrum delivery teams & incremental frequent releases.* Database design and queries in RDBMS & NoSQL - Highly desirable* Messaging broker/Kafka experience - Highly desirable* Spec driven development understanding - Desirable**What we’ll provide you**By joining Citi, you will not only be part ...

large scale and store exabytes of data. The platform supports a variety of services based on open-source software, such as Kubernetes, Cassandra, Zookeeper, Kafka, Redis, etc., alongside internally developed services. Description We are looking for a creative, versatile, and passionate engineer to join this group. You will have ...

workflows, Azure DevOps (or similar), and SQL or document databases. Knowledge of modern software architecture and engineering practices. Experience with cloud platforms, microservices, Kubernetes, Kafka, stream processing or React would be advantageous. Experience providing technical guidance, knowledge sharing, and informal mentoring to other engineers. For the fixed-term opportunity ...

bare-metal systems, hardware failure modes, BMC/IPMI, or cluster schedulers Graph databases Event-driven systems and messaging platforms such as NATS or Kafka Observability platforms such as Prometheus and Grafana Building evaluation frameworks or improving the quality and reliability of LLM-powered systems About Together AI Together ...

orchestration tooling, and data engineering best practices. Familiarity with technologies such as Spark, Python, SQL, Delta Lake, Unity Catalog, dbt, Azure Data Factory, Airflow, Kafka, or equivalent tooling. Relevant certifications such as Snowflake SnowPro, Databricks Certified Data Engineer, or cloud platform certifications would be an advantage. Skills: Strong communication ...

Languages: Python, Go, TypeScript Cloud and infrastructure: AWS and/or GCP, Kubernetes APIs and services: REST, gRPC Distributed systems: event‐driven architectures, including Kafka Agentic AI and ML Commercial and open‐source LLMs integrated into agentic workflows Tooling for agent orchestration, retrieval‐augmented generation, vector storage, and evaluation ...

unit test coverage with JUnit and Mockito.* Hands-on experience with Spring or Micronaut, Docker, and Kubernetes.* Working knowledge of messaging technologies such as Kafka, RabbitMQ, or Solace.* Solid understanding of Spot, Futures, and Options markets.* Hands-on experience with agentic AI development: LLM integration, prompt engineering, and SDLC ...

design exploration, prototyping and embedding AI capabilities into product workflows and services Event Driven Design: Experience designing systems using event-driven approaches (e.g. Solace, Kafka, Web Sockets, or similar technologies), with a solid grounding in Domain-Driven Design. Engineering Fundamentals: Strong grasp of SOLID principles, design patterns, dependency injection ...

plus Experience with finance/derivative products. Knowledge of Convertible Bonds is a plus Experience of publish/subscribe messaging protocols such as Kafka , AMQP, AMPS Experience with C#/WPF desktop application programming Exposure to Relational Database Management Systems (Sybase) Experience of Cloud technologies Exceptional client relationship skills ...

experience in a professional field or military Experience as technical specialist in design and architecture Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) Experience in consulting, design and implementation of serverless distributed solutions Experience in software development with object oriented language Experience in cloud based solution ...

experience in a professional field or military Experience as technical specialist in design and architecture Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) Experience in consulting, design and implementation of serverless distributed solutions Experience in software development with object oriented language Experience in cloud based solution ...

impactful problems both within your team and beyond, contributing to high-impact cross-team initiatives.### Skills Required* Java 8+* Spring framework* Asynchronous message queues (Kafka, RabbitMQ)* Architecting and building highly scalable microservices* Product mindset* Customer experience* Regulatory compliance* Data-driven decisions* Exceptional communication skills* Clean, testable, maintainable, and highly ...

Terraform, CloudFormation, or similar). Strong experience with cloud platforms, ideally AWS. Experience with distributed data processing technologies (e.g. Spark) and streaming platforms (e.g. Kafka). Ability to operate at both a strategic and hands-on level when required. Strong communication and stakeholder management skills, with the ability ...

Azure, or GCP).Distributed Systems Mastery: Deep technical capability in structuring data platforms, data pipelines, and high-throughput distributed systems (like Spark or Kafka) optimized for performance and scalability. Cross-Functional Technical Leadership: Exceptional ability to bridge the gap between deep technical engineering and strategic business needs, guiding cross ...

Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures. Architecture & Modelling: TOGAF; DAMA; ArchiMate; Sparx Enterprise Architect. Data Governance: Microsoft Purview; Collibra; Informatica; Security ...

Leading code reviews Contributing to, proposing and reviewing technical standards Improving operational processes Mentoring more junior colleagues Java Vert.x Spring Rest APIs MySQL Microservices Kafka Spark NodeJS React AWS Terraform AngularJS Benefits Competitive compensation, variable bonus and performance‐based reward opportunities, and retirement programs Medical, dental, and vision insurance ...

Quality. Reference Data. Cloud Platforms Microsoft Azure; AWS; GCP Modern Data Platforms Databricks; Microsoft Fabric; PostgreSQL Data Integration Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures Architecture & Modelling TOGAF; DAMA; ArchiMate; Sparx Enterprise Architect Microsoft Purview, Collibra, Informatica, Security by Design, Data ...

experience in a professional field or military Experience as technical specialist in design and architecture Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) Experience in consulting, design and implementation of serverless distributed solutions Experience in software development with object oriented language Experience in cloud based solution ...

Observability Platforms (example products IBM Netcool, (Watson CloudPak AiOps), Tivoli, SCOM, SMARTS, Dynatrace, Splunk, Elastic, Prometheus, Grafana or Messaging systems for telemetry transport like Kafka, OTEL) Formal training or certification on software engineering concepts and expert applied experience. In addition, advanced experience leading technologists to manage, anticipate and solve ...

deployment methodology BS. or higher in Computer Science (or equivalent work experience) Preferred Qualifications Experience with Node, Webpack, MobX, Redux Experience with Spring boot, Kafka Experience with Microservice architectures and REST API Experience with SQL databases (PostgreSQL/Oracle) and nosql (Dynamo/Mongo DB) Experience with AWS Experience ...

experience in a professional field or military Experience as technical specialist in design and architecture Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) Experience in consulting, design and implementation of serverless distributed solutions Experience in software development with object oriented language Experience in cloud based solution ...

delivering new features and improving/automating existing ones. Collaborate with your team members and engineering leaders to design complex event-driven services (using Kafka/SNS/SQS) and components using our Request For Comments (RFC) process. Coach and mentor less experienced team members, positively changing the trajectory ...

Observability Platforms (example products IBM Netcool, (Watson CloudPak AiOps), Tivoli, SCOM, SMARTS, Dynatrace, Splunk, Elastic, Prometheus, Grafana or Messaging systems for telemetry transport like Kafka, OTEL) Formal training or certification on software engineering concepts and expert applied experience. In addition, advanced experience leading technologists to manage, anticipate and solve ...